Robust Fitting of an Additive Model for Variance Heterogeneity
Robert A. Rigby, Mikis D. Stasinopoulos
Abstract
Robert A. Rigby, Mikis D. Stasinopoulos
Abstract
Here we consider robust fitting of an Additive model for the variance heterogeneity in a Normal error model. Harvey (1978) and Aitkin (1987) have modelled the variance function explicitly using parametric linear models for both the mean and the variance. The use of a non-parametric function of a single explanatory variable for the variance model was introduced by Silverman (1985) and Muller and Stadtmuller (1987).
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Here we consider robust fitting of an Additive model for the variance heterogeneity in a Normal error model. Harvey (1978) and Aitkin (1987) have modelled the variance function explicitly using parametric linear models for both the mean and the variance. The use of a non-parametric function of a single explanatory variable for the variance model was introduced by Silverman (1985) and Muller and Stadtmuller (1987).
Key concepts: Variance-based sensitivity analysis, Variance (accounting), Variance function, Mathematics, Econometrics, Statistics, Parametric statistics, Parametric model